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I am a senior research scientist at RISE Research institutes of Sweden heading The Deep Learning Research Group. I have a PhD from Chalmers University of Technology, and I am the organizer of RISE Learning Machines Seminars.

I work on problems within applied AI where privacy, fairness, and efficiency is central. This includes work on federated learning, privacy-preserving representation learning, and generative adversarial networks. I work with many data modalities, including natural language, vision, and speech.

Some of our ongoing projects include The Federated Learning Testbed, The Swedish Medical Language Data Lab, AI Driven Financial Risk Assessment of Circular Business Models, and Smart Fire Detection.

Read more about me, or about my research group.

Selected publications

 
Fully Convolutional Networks for Dense Water Flow Intensity Prediction in Swedish Catchment Areas

arXiv

 
EFFGAN: Ensembles of fine-tuned federated GANs

2022 IEEE International Conference on Big Data

 
Few-shot bioacoustic event detection using a prototypical network ensemble with adaptive embedding functions

DCASE 2022

 
Financing Solutions for Circular Business Models: Exploring the Role of Business Ecosystems and Artificial Intelligence

Business Strategy and the Environment

 
A Novel Method for Smart Fire Detection Using Acoustic Measurements and Machine Learning: Proof of Concept

Fire Technol.

 
Decentralized adaptive clustering of deep nets is beneficial for client collaboration

FL-IJCAI'22

 
Adversarial representation learning for synthetic replacement of private attributes

IEEE BigData 2021

 
Decentralized federated learning of deep neural networks on non-iid data

FL-ICML 2021

 
Adversarial representation learning for private speech generation

ICML-SAS 2020

 
Blood glucose prediction with variance estimation using recurrent neural networks

JHIR

 
Semantic segmentation of fashion images using feature pyramid networks

CVCREATIVE 2019

 
Character-based recurrent neural networks for morphological relational reasoning

JLM 2019

 
C-RNN-GAN: Continuous recurrent neural networks with adversarial training

CML 2016

List all publications.

Recent talks in selection

 
Tutorial at EUREF 2023: AI for the environment

2023-05-23

 
AI for environment at RISE

2021-12-09

 
AI for chemistry and process industry

2021-09-15

Olof Mogren, PhD, RISE Research institutes of Sweden. Follow me on Mastodon.